We tested how 5 LLMs handle failed write actions (duplicate prevention)

Shows that agents often duplicate writes or claim success after a timeout where the write already landed, with large differences between models. It argues for idempotency keys and verification in agent tools.

• agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.

• articleVerified Tool Calls Improve LLM Agent Reliability Under Non-Atomic FailuresIsham Kalappurackal Mansoor, Abhishek Phadke, Pratip Rana
• postHow to really stop your agents from making the same mistakesGarry Tan
• videoBenchmarking Coding Agents on New vs Legacy Codebases — Denys Linkov, WisedocsAI Engineer

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